{"id":"W4409483400","doi":"10.13703/j.0255-2930.20240611-0001","title":"[Construction of an artificial intelligence-assisted system for auxiliary detection of auricular point features based on the YOLO neural network].","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Artificial neural network; Artificial intelligence; Point (geometry); Computer science; Artificial light; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002993799,0.0004237826,0.0002647152,0.0004388244,0.0001981094,0.0003098838,0.0006575544,0.0003908899,0.002094805],"category_scores_gemma":[0.0006140966,0.000227151,0.0003103272,0.0002099129,0.0001704094,0.0005015458,0.0005008095,0.0002808732,0.0009972417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221576,"about_ca_system_score_gemma":0.0004570407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007092431,"about_ca_topic_score_gemma":0.007948661,"domain_scores_codex":[0.9999026,0.000009932131,0.000005733997,0.00004176323,0.00002263402,0.00001736148],"domain_scores_gemma":[0.9998872,0.00002109054,0.00001722459,0.00001191025,0.00005386794,0.000008586006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000484701,0.0001888089,0.01147908,0.0004280285,0.0001417873,0.0004931816,0.0002025649,0.09237664,0.1490416,0.002351577,0.0088765,0.7339355],"study_design_scores_gemma":[0.0000209391,0.0002350636,0.005248475,0.0000359016,0.00005886439,0.0001893821,0.00004852422,0.9608448,0.0283984,0.000623051,0.004273043,0.00002367869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.116126,0.0004778231,0.8711431,0.000155464,0.0001236303,0.000259282,0.0005641043,0.007321704,0.003828934],"genre_scores_gemma":[0.5835799,0.000379451,0.4067299,0.000186732,0.00003400551,0.0003487082,0.00159787,0.0001100563,0.007033321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007092431,"threshold_uncertainty_score":0.01410228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260155334938562,"score_gpt":0.235068061005066,"score_spread":0.2090525275112098,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}